--- title: "evidently vs openllmetry" type: "comparison" canonical_url: "https://www.graphcanon.com/compare/evidentlyai-evidently-vs-traceloop-openllmetry" tools: ["evidentlyai-evidently", "traceloop-openllmetry"] --- # evidently vs openllmetry Neutral, constraint-first comparison with live GitHub stats. | | [evidently](/tools/evidentlyai-evidently.md) | [openllmetry](/tools/traceloop-openllmetry.md) | | --- | --- | --- | | Tagline | An open-source ML and LLM observability framework. | Open-source observability for your LLM application | | Stars | 7,673 | 7,281 | | Forks | 874 | 1,016 | | Open issues | 285 | 591 | | Language | Jupyter Notebook | Python | | Adopt for | Evidently is a robust open-source Python library for evaluating, testing, and monitoring both machine learning (ML) and large language model (LLM) systems. It supports 100+ metrics and can handle diverse data types from | - | | Persona | - | - | | Runtime | - | - | | License | Apache-2.0 | Apache-2.0 | | Categories | Evaluation & Observability | Evaluation & Observability | ## Trust and health _Sourced signals - not a safety guarantee. No winner column._ | | [evidently](/tools/evidentlyai-evidently.md) | [openllmetry](/tools/traceloop-openllmetry.md) | | --- | --- | --- | | Maintenance | Steady (60%) | Very active (96%) | | Days since push | 66d | 0d | | Open issues (now) | 285 | 591 | | Full report | [trust report](/tools/evidentlyai-evidently/trust.md) | [trust report](/tools/traceloop-openllmetry/trust.md) | **Typed relationship:** evidently _(related)_ openllmetry ## Shared compatibility - **Python**: [evidently](/tools/evidentlyai-evidently.md) - Python runtime; [openllmetry](/tools/traceloop-openllmetry.md) - Python runtime ## Decision facts: evidently - **Adopt for:** Evidently is a robust open-source Python library for evaluating, testing, and monitoring both machine learning (ML) and large language model (LLM) systems. It supports 100+ metrics and can handle diverse data types from ## Choose when ### Choose evidently if… - evidently is primarily Jupyter Notebook; openllmetry is Python. - Graph edge: evidently is a typed related of openllmetry - see the relationship row above. - Tags unique to evidently: ml-pipelines, data-science, data-drift, machine-learning. - When you need comprehensive evaluation capabilities for generative AI tasks such as sentiment analysis, text length checks, or content validation. ### Choose openllmetry if… - openllmetry is primarily Python; evidently is Jupyter Notebook. - Graph edge: openllmetry is a typed related of evidently - see the relationship row above. - Tags unique to openllmetry: good-first-issue, ml, artificial-intelligence, datascience. ## When NOT to use evidently - If you're working exclusively with non-textual generative AI models (like image generation) as Evidently primarily focuses on text-related metrics. - Evidently Cloud is available for enhanced features like dataset and user management but comes at an additional cost. For those not interested in subscriptions, the open-source version may suffice, but ## When NOT to use openllmetry - Evaluation & Observability: Defer heavyweight eval infra only until you have real traffic - never skip it once users depend on answers. ## Common questions ### What is the difference between evidently and openllmetry? evidently: An open-source ML and LLM observability framework.. openllmetry: Open-source observability for your LLM application. See the comparison table for live GitHub stats and shared categories. ### When should I choose evidently over openllmetry? Choose evidently over openllmetry when evidently is primarily Jupyter Notebook; openllmetry is Python; Graph edge: evidently is a typed related of openllmetry - see the relationship row above; Tags unique to evidently: ml-pipelines, data-science, data-drift, machine-learning; When you need comprehensive evaluation capabilities for generative AI tasks such as sentiment analysis, text length checks, or content validation. ### When should I choose openllmetry over evidently? Choose openllmetry over evidently when openllmetry is primarily Python; evidently is Jupyter Notebook; Graph edge: openllmetry is a typed related of evidently - see the relationship row above; Tags unique to openllmetry: good-first-issue, ml, artificial-intelligence, datascience. ### When should I avoid evidently? If you're working exclusively with non-textual generative AI models (like image generation) as Evidently primarily focuses on text-related metrics. Evidently Cloud is available for enhanced features like dataset and user management but comes at an additional cost. For those not interested in subscriptions, the open-source version may suffice, but ### When should I avoid openllmetry? Evaluation & Observability: Defer heavyweight eval infra only until you have real traffic - never skip it once users depend on answers. ### Is evidently or openllmetry more popular on GitHub? evidently has more GitHub stars (7,673 vs 7,281). Stars measure visibility, not whether either tool fits your constraints. ### Are evidently and openllmetry open source? Yes - both are open-source projects on GitHub (evidently: Apache-2.0, openllmetry: Apache-2.0). ### Where can I find alternatives to evidently or openllmetry? GraphCanon lists graph-backed alternatives at /tools/evidentlyai-evidently/alternatives and /tools/traceloop-openllmetry/alternatives (/tools/evidentlyai-evidently/alternatives.md, /tools/traceloop-openllmetry/alternatives.md), ranked by typed relationship edges rather than popularity votes. ### Is there a machine-readable version of this comparison? Yes. The markdown twin at /compare/evidentlyai-evidently-vs-traceloop-openllmetry.md mirrors this page for agents and LLM crawlers, with the same stats table and FAQ answers. ### Which is better maintained, evidently or openllmetry? evidently: Steady. openllmetry: Very active. Compare maintenance labels, days since push, and release cadence in the trust section below - stars alone do not measure maintenance. ### Where are the full trust reports for evidently and openllmetry? GraphCanon publishes per-repo trust reports with dated maintenance, provenance, and scan summaries: evidently: /tools/evidentlyai-evidently/trust; openllmetry: /tools/traceloop-openllmetry/trust. --- **Machine-readable endpoints** - JSON: [`/api/graphcanon/graph?tool=evidentlyai-evidently`](/api/graphcanon/graph?tool=evidentlyai-evidently) - LLM index: [/llms.txt](/llms.txt) - Full corpus: [/llms-full.txt](/llms-full.txt) _GraphCanon - The knowledge graph for AI development. https://www.graphcanon.com/_